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METHOD AND APPARATUS FOR FULLY AUTOMATED SEGMENTATION OF IMAGE OF JOINT, BASED ON PATIENT-SPECIFIC OPTIMAL THRESHOLDING METHOD AND WATERSHED ALGORITHM

机译:基于患者特定最优阈值方法和流水算法的关节图像全自动分割方法及装置

摘要

Disclosed are a method and an apparatus for fully automated segmentation of an image of a joint, based on a patient-specific optimal thresholding method and a watershed algorithm. The method for fully automated segmentation of an image can comprise the steps of: extracting, in connection to a thresholding method and a load path algorithm, region information corresponding to a target object to be segmented, from a medical image obtained by photographing an object to be examined; generating a first mask (Mask 1) on the basis of the extracted region information; generating a morphological patch by performing morphological segmentation on the medical image, on the basis of the watershed algorithm; generating a second mask (Mask 2) on the basis of the generated morphological patch; and segmenting an image corresponding to the target object from the medical image on the basis of the first mask and the second mask.
机译:公开了一种基于患者特定的最佳阈值化方法和分水岭算法的用于关节图像的全自动分割的方法和设备。用于图像的全自动分割的方法可以包括以下步骤:结合阈值方法和加载路径算法,从通过对物体进行拍照而获得的医学图像中提取与要分割的目标物体相对应的区域信息。被检查;基于所提取的区域信息生成第一掩模(掩模1);在分水岭算法的基础上,通过对医学图像进行形态学分割,生成形态斑块;根据所生成的形态补丁生成第二个蒙版(蒙版2);基于第一掩模和第二掩模从医学图像中分割与目标对象相对应的图像。

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